#30daysofsql search results
Day 26 of #30DaysOfSQL CTEs just made SQL make sense Today I learned how Common Table Expressions (CTEs) break complex logic into simple, readable steps. Instead of stuffing everything into one massive query, a CTE lets you think in layers.
Day 23 of #30DaysOfSQL Today I learned about Views in SQL Server and honestly, this feels like a mini superpower. A View is basically a saved SQL query that behaves like a virtual table. It makes your work cleaner, faster, and more consistent.
Day 27 of my #30DaysOfSQL Stored Procedures vs Functions, finally making sense. Today I focused on SQL Functions, and they were confusing at first. The breakthrough came when I understood this simple idea: Stored procedures PERFORM tasks. Functions RETURN results.
Day 14 of #30DaysOfSQL Today I learned Subqueries → queries inside queries. Think of it as: “Find X, then use X to find Y.”🧵
Day 18 of #30DaysOfSQL — FULL JOIN & CROSS JOIN (MySQL) MySQL doesn’t support FULL JOIN directly. But here’s how to handle it 🧵
Day 15 of SQL May Challenge. I worked on the Adventure work data set from Kaggle, exported it to SQL, used my JOIN to combine the data (because they were on different tables). Then, I exported it to POWER BI, wrote 1 or 2 DAX functions, designed this dashboard. #30daysofSQL
Day 20 of #30DaysOfSQL Set Operators in SQL Server Sometimes, you need to compare results from 2 queries. Instead of joins, SQL gives us Set Operators Let’s break them down 🧵
Day 25 of #30DaysOfSQL I learned how powerful PARTITION BY is in SQL Server. Unlike GROUP BY, it keeps all rows while adding totals and insights. Example: show each employee’s salary + total salary of their department
I started #30daysofSQL today. Day 1 of SQL Topics Covered: _ Overview of SQL _ History of SQL _ Basic Commands in SQL _ Advantage of SQL _ SQL vs NOSQL difference 📌What is SQL? Sql is a standard database Language used to access and manipulate data in databases.
Day 16 Today, I learnt about Common Tables Expression. CTEs act as virtual tables (with records and columns) that are created during query execution, used by the query, and deleted after the query executes. #Day16 #30DaysOfSQL #CTE #Data
Day 9 of my SQL Journey 💻 Hi #datafam, so today I decided to face my subquery fear and I started getting the hang of it. Subquery makes breaking down complex queries less scary What’s your favorite SQL trick for handling tricky queries? #30DaysOfSQL #Buildinginpublic
Day 11 of #30DaysofSQL was all about harnessing the power of SQL in notebooks! 📊 From querying data with precision to mastering numeric functions and aggregations, the journey to becoming a SQL pro is getting more exciting. Let's crunch some numbers! 💻 #DoHardThings @alx_kenya
🔷Day 9 of #SQLwithFunmi: I harnessed LIKE, IN, and BETWEEN to filter data with ease. Retrieved corps members by email, state, age, and name patterns. LIKE with wildcards (%) and IN for multiple values were total lifesavers! Now, querying data feels like a breeze! #30DaysOfSQL
Day 10 of #30DaysofSQL has been a rollercoaster! Challenging yet fun sums it up. Anaconda Navigator has opened up endless possibilities. The #DoHardThings challenges are real, but so is the excitement of mastering this powerful tool. 📊 @alx_kenya #DataNerd #NeverStopLearning
Catching up on Day 7 of #SQLwithFunmi! 🔷 Mastered aggregation with MIN, MAX, COUNT, GROUP BY, and ORDER BY. Found youngest/oldest corps members and counted members by institution state. Powerful techniques for data analysis! 💻 #30DaysOfSQL #SQLSkills #DataAnalytics
Day 4 of #SQLwithFunmi! 🔷 Mastered COUNT, GROUP BY, and AVERAGE. Retrieved corps members' count by state, preferred state, course, and average age. Levelling up day after day😌💻 #30DaysOfSQL #LearningInPublic #DataAnalytics
Day 27 of my #30DaysOfSQL Stored Procedures vs Functions, finally making sense. Today I focused on SQL Functions, and they were confusing at first. The breakthrough came when I understood this simple idea: Stored procedures PERFORM tasks. Functions RETURN results.
DAY 13 of my SQL Journey Today is about learning window functions row_number(), rank() and how partition by works. It was a bit confusing at first but with some examples I tried it started making sense. Slowly getting there. #30DaysOfSQL #DataAnalytics
Day 26 of #30DaysOfSQL CTEs just made SQL make sense Today I learned how Common Table Expressions (CTEs) break complex logic into simple, readable steps. Instead of stuffing everything into one massive query, a CTE lets you think in layers.
Day 10/30 Today was all about string functions left, substring, replace, charindex e.t.c . These functions are powerful for cleaning, formatting, and preparing data for analysis. Which SQL function do you think is underrated but super useful? #30DaysOfSQL #buildinginpublic
Day 25 of #30DaysOfSQL I learned how powerful PARTITION BY is in SQL Server. Unlike GROUP BY, it keeps all rows while adding totals and insights. Example: show each employee’s salary + total salary of their department
Day 23 of #30DaysOfSQL Today I learned about Views in SQL Server and honestly, this feels like a mini superpower. A View is basically a saved SQL query that behaves like a virtual table. It makes your work cleaner, faster, and more consistent.
Day 9 of my SQL Journey 💻 Hi #datafam, so today I decided to face my subquery fear and I started getting the hang of it. Subquery makes breaking down complex queries less scary What’s your favorite SQL trick for handling tricky queries? #30DaysOfSQL #Buildinginpublic
I’m starting #30DaysOfSQL today! 💪 For the next 30 days, I’ll share 1 SQL concept daily — from basics to advanced. Short. Practical. Easy to learn. Follow along and bookmark this thread 👇 Let’s make SQL fun again! 💙 #SQL #DataAnalytics #DataScience #LearnSQL
🧵 Day 1 of my #30DaysOfSQL Journey Today I learned “Introduction to Databases & SQL.” A database = organized collection of data. SQL (Structured Query Language) = the language used to talk to databases.
I’ll be sharing daily progress, resources, and lessons learned along the way. If you’re learning SQL too, let’s connect and grow together!✍️🫡 #SQL #DataAnalytics #30DaysOfSQL
Day 22 of #30DaysOfSQL Understanding Indexes in SQL Server ⚡ Indexes make queries faster by helping SQL Server find data without scanning the whole table. Think of an index as a table of contents for your data. 🧵
Day 21 of #30DaysOfSQL Nested Joins + Subqueries in Joins (SQL Server Edition) I’ve joined 2 tables before, now let’s link 3 or 4+ 💪🧵
Little win in my #30DaysOfSQL journey: I just switched from MySQL → SQL Server & wow, I see the flavours of SQL clearly now. ✅ MySQL: simple, great start ✅ SQL Server: richer (INTERSECT, EXCEPT, CTEs, window funcs) Even small syntax shifts = big growth. Loving it! #sql
Rules to remember: Both queries must return the same number of columns Data types must be compatible #30DaysOfSQL #SQLServer #LearningInPublic
Day 20 of #30DaysOfSQL Set Operators in SQL Server Sometimes, you need to compare results from 2 queries. Instead of joins, SQL gives us Set Operators Let’s break them down 🧵
Hi everyone, here's the link to the project I created for the #30DaysOfSQL challenge. I'd love your thoughts and feedback. Thank you for engaging. github.com/Elizabeth-moyi… #learnwithmoyinofcanada #30SQLchallenge #Datacommunity @cheftee_lead @Odunthedatagirl
It's day 30 of my 30 day SQL learning challenge, and it's been quite a journey. From struggling to import datasets into SQL Workbench and facing errors to mastering joins, subqueries, CTEs, and complex SQL functions that challenged my life choices.
Key takeaway: Self-joins let you explore hierarchies within one table. #SQL #30DaysOfSQL #LearningInPublic #DataAnalytics
Day 19 of #30DaysOfSQL Self-Joins Sometimes the data you need is in one table. That’s when we use a Self-Join. 🧵
Recap: INNER JOIN → only matches LEFT JOIN → all left RIGHT JOIN → all right FULL JOIN → simulate with UNION CROSS JOIN → all combos #SQL #MySQL #30DaysOfSQL #LearningInPublic
Day 18 of #30DaysOfSQL — FULL JOIN & CROSS JOIN (MySQL) MySQL doesn’t support FULL JOIN directly. But here’s how to handle it 🧵
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